26 to 50 of 51 Synthetic Data Jobs in London

markets — the world’s largest asset class at over $145 trillion. Debt markets are vast, global, and mission-critical, yet still run on fragmented data, PDFs, and manual workflows. 9fin replaces this broken infrastructure with a single platform that centralises proprietary credit data, deep analysis, and high-value … product-market fit and strong, global market pull, 9fin is accelerating toward becoming the category-defining platform for debt markets worldwide. The Opportunity The Data Science team is growing at 9fin! We are doing world-class work with groundbreaking technologies to build data-driven products using machine learning ...

more): Native multimodal modelling (vision-language, audio-vision, cross-modal) Pre-training/post-training (SFT, DPO, RLHF/RLAIF) at scale Data engineering & synthetic data pipelines Agentic frameworks, reasoning, tool use, memory systems Evaluation & benchmarking (LLM-as-judge, safety/alignment metrics) Inference optimisation (quantization, distillation ...

foundational machine learning research? Thomson Reuters Labs is seeking Research Scientists with a passion for building complex agent-based AI systems in a data-rich, complex academic environment driven by real-world problems. Foundational Research We are focused on research and development, with a particular focus on advanced algorithms … training techniques for planning, reasoning & complex workflows (e.g., Reasoning Models, LLMs + Knowledge Graphs, Test time compute, CoT pipelines, Tool use & API calling, etc.) Data-centric Machine Learning (Synthetic Data, Curriculum Learning, Learned datamixtures, etc.) Evaluation (Benchmarks, Human-in-the-loop, red teaming/Adversarial Testing, Hallucination ...

foundational machine learning research? Thomson Reuters Labs is seeking Research Scientists with a passion for building complex agent-based AI systems in a data-rich, complex academic environment driven by real-world problems. Foundational Research is the dedicated core Machine Learning research division of Thomson Reuters. We are focused … training techniques for planning, reasoning & complex workflows (e.g., Reasoning Models, LLMs + Knowledge Graphs, Test time compute, CoT pipelines, Tool use & API calling, etc.) Data-centric Machine Learning (Synthetic Data, Curriculum Learning, Learned datamixtures, etc.) Evaluation (Benchmarks, Human-in-the-loop, red teaming/Adversarial Testing, Hallucination ...

equally comfortable writing production code, presenting technical solutions to C-level executives, and debugging complex AI systems on factory floors or in customer data centers. You've shipped voice agents, video processing systems, or conversational AI to production. You thrive translating ambiguous business requirements into concrete technical solutions that … APIs and custom SDKs (Python, TypeScript) Act as trusted technical advisor to customers, shaping AI strategy and guiding roadmap decisions from concept to production Data Strategy & MLOps Infrastructure Design data architectures with efficient processing pipelines and ingestion workflows for training and inference on aion's platform Implement ...

agentic AI workflows, frameworks, and approaches. Preferred qualifications: Master's degree or PhD in Computer Science, Machine Learning, or a related field. Experience with data collection, model fine-tuning, and evaluation. Experience with inference optimization techniques or extensive prompt tuning. Track record of publication at leading conferences … institutes all over the world. From creating experiments and prototyping implementations to designing new architectures, engineers work on real-world problems including artificial intelligence, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. ...

lead fine-tuning, post-training, model steerability, and reinforcement learning for the next generation of translation models. You will fuse high-value human data with synthetic data and drive breakthroughs from research to production at scale. You will work with architectures at hundreds of billions of parameters ...

hiring a Senior Research Scientist to lead fine-tuning, post-training, and RL for its next-generation translation models. You will blend human expert data with synthetic data to steer models according to user instructions and context, working on models with hundreds of billions of parameters. ...

optimisation, CUDA, inference acceleration or edge AI. Real-time computer vision systems. Docker, Kubernetes, Kubeflow or MLOps pipelines. Aerial, satellite or ISR imagery. Synthetic data generation, Unreal Engine or NVIDIA Omniverse. Distributed training and large-scale model optimisation. Defence, government or national security projects. ...

designing evaluation frameworks for real-world applications. Experience providing technical leadership to execute research from concept to product. Experience with clinical and healthcare workflows, data, and environments. Experience partnering with vendors for data and rubric curation in real-world domains, and generating synthetic data and rubrics. ...

designing evaluation frameworks for real-world applications. Experience providing technical leadership to execute research from concept to product. Experience with clinical and healthcare workflows, data, and environments. Experience partnering with vendors for data and rubric curation in real-world domains, and generating synthetic data and rubrics. ...

Language Models (LLMs) and Vision-Language Models (VLMs), enabling agents to perceive, understand, and act within complex environments. We own the entire pipeline including synthetic data generation, environment design, mid-training, supervised fine-tuning, offline reinforcement learning, online reinforcement learning, reward modelling, transition modelling, etc. Our team also … advanced LLMs and VLMs, including multimodal architectures Research and implement training methods for enhanced capabilities like instruction following and tool use Design and optimize data pipelines and training systems for large-scale distributed training Collaborate with cross-functional teams to integrate models into agentic AI systems Evaluate model performance ...

Your Role You'll be a force multiplier for the Pre-sales organization. You'll own how Zip demos end to end: the environments, data, scripts, and certification standards that let any Solution Engineer deliver a technically credible demo quickly and consistently. You will be responsible for developing … great demo looks like at Zip. What You'll Do Own demo environment build and operations: Design, build, and maintain the demo environments, data sets, demo pathways, and demo scripts every SEs uses. Build self-service tooling and templates: Turn demo-builds into packages assets that ...

models and get them shipped into the car on a fast timeline measured in months. The opportunity is to own the full loop from data and training through evaluation and on-road validation, with direct impact on high-priority commercial deliveries (including the Nissan production and Robotaxi). … parts of the training model lifecycle, including evaluation strategy, success metrics, and iteration planning. Mine, bucket, and curate real-world and synthetic data to teach specific driving behaviors, and implement data schemes to support training. Run and analyse on-road and offline experiments, translate results into clear ...

Artificial Intelligence and Machine Learning solutions for defence, security and other demanding operational environments. Our client has a highly experienced team of Software Engineers, Data Scientists, Machine Learning specialists and Researchers. The company is growing rapidly and is now looking for a highly capable individual to work closely with … quickly understand technical concepts such as: EO, IR, SAR and RF sensors. The electromagnetic spectrum. Mathematical models. Edge deployment. Machine Learning training data. Synthetic data and simulation. Once up to speed, the Chief of Staff will need to feel comfortable discussing these areas with customers and supporting technical ...

Artificial Intelligence and Machine Learning solutions for defence, security and other demanding operational environments. Our client has a highly experienced team of Software Engineers, Data Scientists, Machine Learning specialists and Researchers. The company is growing rapidly and is now looking for a highly capable individual to work closely with … quickly understand technical concepts such as: EO, IR, SAR and RF sensors. The electromagnetic spectrum. Mathematical models. Edge deployment. Machine Learning training data. Synthetic data and simulation. Once up to speed, the Founder’s Associate will need to feel comfortable discussing these areas with customers and supporting technical ...

rare opportunity to be deeply embedded within a research team, contributing directly to cutting-edge work around large AI models, reinforcement learning, synthetic data and multi-agent systems. You'll combine hands‐on engineering with research, building and experimenting with ML systems, developing robust research infrastructure and working ...

heavy engineering opportunity. You'll be embedded directly within a cutting-edge AI research team, working on areas including large language models, reinforcement learning, synthetic data, multi-agent systems and AI agents , while also building the robust infrastructure needed to support complex research experiments. Non negotiable skills ...

machine learning systems, large language models (LLMs), and generative AI. Recursive Self-Improvement Focus: Design and build reinforcement learning environments, generate synthetic data, and research multi‐agent systems where AIs collaborate to build and refine next‐generation models. Robust Infrastructure Development: Architect and deploy functional, safe sandboxes, execution … systems, subject to organization policies. Role Requirements & Qualifications Minimum Qualifications: Experience: Sufficient years of hands‐on experience in machine learning, recommendation systems, pattern recognition, data mining, or artificial intelligence. Core Technical Stack: Advanced proficiency in Python and hands‐on experience with deep learning frameworks such as PyTorch . Large ...

complex and contested environments. A successful candidate will be skilled in developing real-time object detection, sensor fusion, and state estimation algorithms using data from diverse mission sensors such as EO/IR cameras, radars, and IMUs. The role requires strong algorithmic thinking, deep familiarity with airborne sensing systems … perception algorithms - Design and implement robust algorithms for object detection, classification, and multi-target tracking across diverse sensor modalities. Implement sensor fusion frameworks - Integrate data from vision systems, radars, and other mission sensors using probabilistic and deterministic fusion techniques to generate accurate situational awareness. Develop state estimation capabilities - Design ...

testing, documentation) Proven, hands-on experience working directly with cameras and imaging systems, including camera configuration, calibration, image acquisition pipelines, and troubleshooting real sensor data Experience with space, robotics, autonomy, or safety-critical systems Knowledge of pose estimation, SLAM, or visual odometry Strong ability to multitask Familiarity with synthetic data generation and simulation environments Experience with FastAPI or similar backend frameworks #J-18808-Ljbffr ...

world-leading technology organisation, focusing on AI and machine learning research. You'll be embedded in a cutting-edge team working on LLMs, RL, synthetic data, and multi-agent systems. This unusually research-heavy engineering role involves building robust infrastructure to support experiments and deploying production-quality code ...

create lasting value. In this role, you will Design and deploy advanced agentic systems and workflows, establishing governance models for permissions, context-sharing and data access. Architect enterprise-scale agent deployments on leading AI platforms, creating trust layers and cross-agent governance frameworks that enable responsible AI adoption. Define … orchestration patterns, state management strategies, tool-calling frameworks and resilience models for complex AI ecosystems. Establish AI quality engineering practices, including agent evaluation frameworks, synthetic data strategies and agentic testing methodologies. Design and scale enterprise knowledge architectures, ontologies and retrieval systems that enable trustworthy, context-aware AI experiences. ...

Research Engineer to advance AI research and ML systems. The role blends hands-on engineering with rigorous experimentation on large models, reinforcement learning, synthetic data, and multi-agent setups. You will work within a world-leading technology organization, contributing to cutting-edge infrastructure and research initiatives ...

camera and network integration (including streaming protocols such as RTSP or ONVIF), real-time video analytics, edge deployment, or R&D infrastructure such as synthetic data pipelines and evaluation tooling So What's Next? If you are a Senior Software Engineer with strong skills in Python, Linux, Docker ...